Overview: Predictive models turn historical data into reliable forecasts that support accurate planning across ...

Purpose. To determine how digital transformation (DT) generates competitive advantage in Zimbabwean SMEs—using a desk-based evidence synthesis (SLR) interpreted through Resource-Based View and Dynamic ...

Background Is being famous a risk factor for premature death? Previous studies indicate that famous musicians have a higher ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Researchers explore the use of smartphones coupled with clinical scores to evaluate motor function and predict dopamine ...

AI in your company – iGaming case study AI is no longer a novelty in the iGaming sector. Across operators, studios, and affiliates, leaders increasingly agree that AI will reshape the industry. Yet ...

Background The COVID-19 pandemic reversed a decade of progress in reducing child food insufficiency in the United States.

Background While maternal depression and anxiety have been linked to adverse childhood respiratory outcomes, the role of ...

This large-scale genomic analysis of 14 psychiatric disorders shows that most heritable risk is shared across five broad ...

It’s been discovered that a new tool using routine blood tests and a simple online app could help detect tuberculosis (TB) ...

Objective To develop prediction models for short-term outcomes following a first acute myocardial infarction (AMI) event (index) or for past AMI events (prevalent) in a national primary care cohort.

Background Primary healthcare is crucial for universal health coverage in low- and middle-income countries. While research on ...